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ABSTRACT

A special case of the data compression problem is presented, in which a powerful encoder transmits a coded file to a decoder that has severely constrained memory. A data structure that achieves minimum storage is presented, and alternative methods that sacrifice a small amount of storage to attain faster decoding are described.

REFERENCES

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INDEX TERMS

Primary Classification:
  E. Data
  E.4 CODING AND INFORMATION THEORY
      Subjects: Data compaction and compression

Additional Classification:
  E. Data
  E.1 DATA STRUCTURES
      Subjects: Tables**

  H. Information Systems
  H.1 MODELS AND PRINCIPLES
      H.1.1 Systems and Information Theory
          Subjects: Information theory

General Terms:
Algorithms, Performance